Key Responsibilities
- Design and develop AI/ML solutions for enterprise applications.
- Develop production-ready AI services using Python.
- Develop and integrate machine-learning models and AI APIs.
- Work with Large Language Models (LLMs) and Generative AI technologies.
- Design and implement Retrieval-Augmented Generation (RAG) solutions.
- Work with embeddings, vector databases and semantic search.
- Develop AI-powered chatbots, virtual assistants and intelligent automation solutions.
- Integrate AI services with enterprise applications through REST APIs and microservices.
- Develop data-processing and model-inference pipelines.
- Evaluate model performance, accuracy and reliability.
- Implement prompt engineering and model evaluation techniques.
- Apply appropriate security and privacy controls for enterprise AI solutions.
- Optimize inference performance, cost and scalability.
- Monitor AI applications in production and troubleshoot issues.
- Collaborate with software engineers, data teams, product teams and business stakeholders.
Enterprise AI Use Cases
Depending on the engagement, candidates may work on:
- Banking customer-service assistants
- Financial document processing
- Fraud/risk-related analytics
- Fintech automation
- Telecom customer-service solutions
- Enterprise knowledge assistants
- Insurance document and claims processing
- Intelligent search and recommendation
- Enterprise RAG platforms
- AI-powered workflow automation
Senior-Level Expectations
- Design AI solution architecture and technical approaches.
- Lead implementation of AI/ML and Generative AI solutions.
- Evaluate and select appropriate models, frameworks and technologies.
- Establish AI engineering and MLOps best practices.
- Mentor AI/ML engineers.
- Lead model evaluation, optimization and production deployment.
- Participate in client-facing AI solution discussions.
Requirements
- Bachelor's degree in CSE, Computer Science, AI/ML, Software Engineering, Data Science or related discipline.
- 3–8 years of relevant AI/ML/software engineering experience, depending on level.
- Strong Python programming skills.
- Practical experience with machine learning and/or Generative AI.
- Understanding of LLMs and modern AI architectures.
- Experience developing APIs and integrating AI services into applications.
- Good understanding of data processing and model evaluation.
- Strong software engineering fundamentals.
- Experience with Git and Agile/Scrum.
Preferred Skills
PyTorch | TensorFlow | Hugging Face | LangChain | LlamaIndex | RAG | Vector Databases | OpenAI/LLM APIs | Ollama | NLP | Computer Vision | MLflow | Docker | Kubernetes | AWS/Azure/GCP
Experience building production-grade AI solutions for banking, fintech, telecom, insurance or other regulated/enterprise environments will be highly valued.
What We Offer
- Competitive compensation based on experience and expertise
- Exposure to leading banking, fintech, telecom and enterprise projects
- Career growth and professional development opportunities
- Access to modern technologies and enterprise-scale solutions
- Collaborative and performance-driven work environment
- On-site / hybrid opportunities based on project requirements
- Opportunities to work with experienced technical and business teams
📩 How to Apply
Email: career(@)flytesolutions.com
Please include CV, Current Salary, Expected Salary, Notice Period and Brief Cover Letter.
Subject: 5years– AI Engineer
Flyte Solutions Ltd.
Technology Solutions | Resource Augmentation | Software Engineering
https://www.flytesolutions.com/
